Veeqo (veeqo.com) — a startup which was acquired by Amazon in 2021 — is Amazon’s recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022.
Our vision is to become the back office hub for SMB ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.
Amazon is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Business Intelligence Engineer involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, or other similar coding languages. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities
• Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data and designing reports that present status-at-a-glance visualization for business performance.
• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
• Generating complex queries to dive deep on process issues
• Innovating to improve customer experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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